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nullAlZahir, S. and Donker, H. (2010) A Novel Regression Based Model for Detecting Anemia Using Color Microscopic Blood Images. Journal of Software Engineering and Applications
, 756-760. doi: 10.4236/jsea.2010.38087
 J. B. Henry, “Clinical Diagnosis and Management by Laboratory Methods,” W. B. Saunders, Philadelphia, 2001.
M. Rendell, M. Anderson, W. Schlueter, J. Mailliard, D. Honigs and R. Rosenthal, “Determination of Hemoglobin Levels in The Finger Using Near Infrared Spectroscopy”, Journal of Clinical & Laboratory Haematology, Vol. 25, No. 2, April 2003, pp. 93-97.
J. P. Greer, J. Foerster, J. N. Lukens, G. M. Rodgers, F. Paraskevas and B. Glader, “Wintrobe’s Clinical hematology,” 11th Edition, Lippincott Williams & Wilkins, Philadelphia, 2003.
G. Ongun, U. Halici, K. Leblebicioglu and V. Atalay, “Feature Extraction and Classification of Blood Cells for an Automated Differential Blood Count System,” International Joint INNS-IEEE Conference on Neural Networks, Washington DC, Vol. 4, 2001, pp. 2461-2466.
CELL-DYN 3200 System Training Guide, 2004.
S. Zahir, C. G. Rejaul and W. Payne, “Automated Assessment of Erythrocyte Disorders Using Artificial Neural Network,” IEEE International Symposium on Signal Processing and Information Technology, Vancouver, 2006, pp. 776-780.
H. Ranganath and N. Gunasekaran, “Artificial Neural Network Approach in Estimation of Hemoglobin in Human Blood,” International Computer Engineering Conference on New Technologies for the Information Society, ICENCO, Cairo, 2004, pp. 341-344.